TennisEdge's AI model finds no betting value in M. Fucsovics vs D. Prizmic (Rome on 2026-05-06) — the market is efficient, with D. Prizmic favoured at 1.33.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | M. Fucsovics | D. Prizmic |
|---|---|---|
| Elo ratings-based, surface-weighted |
27.2% | 72.8% |
| Machine learning 29-feature gradient-boosted model |
33.4% | 66.6% |
| Serve / return point-by-point simulation |
8.9% | 91.1% |
| Blend what the bot actually prices off |
23.2% | 76.8% |
| Market implied de-vigged from the opening odds |
28.7% | 71.3% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| M. Fucsovics | hard | 1755 | 95–76 | 171 |
| D. Prizmic | clay | 1859 | 101–43 | 144 |
Our own ratings, computed from match results since 2018. Players with fewer than 5 rated matches are omitted rather than shown at a provisional starting value. Last updated Aug. 4, 2026.
D. Prizmic leads 1–0 over 1 meeting. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| May 7, 2026 | Rome | clay | D. Prizmic | 2 - 0 |
| L | C. Moutet | 0 - 2 | Aug. 4, 2026 |
| L | A. Davidovich Fokina | 3 - 0 | July 3, 2026 |
| W | L. Tien | 3 - 1 | July 1, 2026 |
| W | L. van Assche | 0 - 1 | June 29, 2026 |
| L | B. Nakashima | 2 - 0 | June 16, 2026 |
| L | A. Molcan | 1 - 1 | July 15, 2026 |
| W | V. Kopriva | 0 - 2 | July 13, 2026 |
| L | F. Auger-Aliassime | 3 - 0 | July 1, 2026 |
| W | A. Walton | 1 - 3 | June 29, 2026 |
| L | S. Tsitsipas | 2 - 1 | June 26, 2026 |
All May 6, 2026 results & picks →
Math-only prediction: no LLM calls used